{"id":"W6907403297","doi":"10.22008/fk2/cs5lka/zylkdm","title":"cshdca4.rtl","year":2022,"lang":"fr","type":"dataset","venue":"Geological Survey of Denmark and Greenland (GEUS)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Apotex Pharmachem (Canada)","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001118213,0.003153194,0.002295573,0.005574663,0.0009654936,0.00328019,0.004372399,0.002882392,0.1980946],"category_scores_gemma":[0.006416668,0.001240697,0.001968553,0.01055728,0.0006155871,0.001751051,0.002166269,0.002226198,0.2482869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001708875,"about_ca_system_score_gemma":0.003162371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06784618,"about_ca_topic_score_gemma":0.09602523,"domain_scores_codex":[0.9987673,0.0002015759,0.0001108383,0.0003631901,0.0002796577,0.0002774488],"domain_scores_gemma":[0.9974382,0.0007051642,0.0001724072,0.0007298592,0.0007112238,0.0002430539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002299313,0.000005924122,0.0001460079,0.0002555838,0.00001670753,0.000005487545,0.000008397359,0.0002076883,0.00003546915,0.0002490081,0.9983078,0.0007387861],"study_design_scores_gemma":[0.0002750091,0.00001175187,0.001687948,0.0001761458,0.00003305213,0.00002814734,0.00005112466,0.0006010509,0.0002431807,0.001346613,0.9955137,0.00003223144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000299962,0.00002111137,0.00004291099,0.00002704061,0.0000120081,0.000003849711,0.9990778,0.0004285933,0.0003567223],"genre_scores_gemma":[0.0001590578,0.00002567124,0.0001936223,0.00002073995,0.000005169578,0.00003174183,0.998952,0.0001673953,0.0004445027],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8019054,"threshold_uncertainty_score":0.6626925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04534426458836471,"score_gpt":0.2735283783038743,"score_spread":0.2281841137155096,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}